The new release of VirtualLab Fusion – version 2023.2 – is here, and with it come exciting new features. One of the most important, which we would like to highlight in this week’s newsletter, is the Distributed Computing Package.
This tool is aimed at drastically improving simulation times for those complex problems which are composed of multiple elementary simulations, such as parameter sweeps or tolerance analysis. The Distributed Computing Package makes it possible to allocate the individual elementary tasks to different machines (computers/servers) in a network, so that they are calculated in parallel, thus decreasing overall simulation time.
Please take a look at the documents below for a deep dive into the new technology, as well as an application scenario where we drastically improve simulation times for a white-light interferometer example.
Usage of Distributed Computing
This Use Case shows how Distributed Computing can be activated in VirtualLab Fusion.
Investigation of Diffraction in Interferometer Caused by Sharp Relief – Analysis by Using Distributed Computing
A Michelson-Interferometer is used to investigate the diffraction caused by a sample with a rectangular height structure illuminated by a spectrum of wavelengths. For calculation, the distributed computing technology of VirtualLab Fusion is used.
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Newsletter/News Distributed Computing, Cloud, Optimization, Parameter Run, Parameter Sweep, interferometry, white light, diffraction, speed, parallelization, Release, VirtualLab Fusion
This tool is aimed at drastically improving simulation times for those complex problems which are composed of multiple elementary simulations.
